College of Mathematics and Statistics, Southwest University, Chongqing 400715, China.
College of Artificial Intelligence, Southwest University, Chongqing 400715, China.
Contrast Media Mol Imaging. 2022 Mar 19;2022:5694163. doi: 10.1155/2022/5694163. eCollection 2022.
This study aimed to discuss magnetic resonance imaging (MRI) based on artificial intelligence (AI) algorithm to evaluate the effect of radiation synovectomy for hemophilic arthropathy (HA). MRI based on the Canny algorithm was applied and compared with conventional MRI to evaluate its application effects according to the PSNR and SSIM. Sixty patients diagnosed with HA were selected as the research subjects. According to the detection method, the patients were divided into group A (pathological detection after radiation synovectomy), group B (conventional MRI detection), and group C (MRI detection based on the Canny algorithm). The application value of MRI based on the Canny algorithm was judged by comparing the differences between the two detection methods and pathological results. The results displayed that the reconstruction effect of the Canny algorithm was remarkably better than that of the traditional algorithm regarding the peak signal-to-noise ratio (PSNR) and structural similarity (SSIM), which showed a clearer synovial contour. The results of the IPSG score of joint effusion and hemorrhage showed that there was a difference in the detection rate of joints between conventional MRI and pathological results on the score of 1 and 2 ( < 0.05); and there was no significant difference between the MRI and pathological results based on the Canny algorithm ( > 0.05). The results of the IPSG score of synovial hyperplasia showed that the detection rate of conventional MRI was different from pathological results on the score of 1 and 2 ( < 0.05); and there was no significant difference between the MRI and pathological results based on the Canny algorithm ( > 0.05). The results of the IPSG score of hemosiderin deposition showed that the detection rate of conventional MRI was different from the pathological results on the score of 1 and 2 ( < 0.05); and there was no significant difference between the MRI and pathological results based on the Canny algorithm ( > 0.05). The synovial volume of patients after surgery was reduced compared with that before surgery. One-factor variance was used to analyze the clinical hemorrhage frequency before and after surgery, and the results showed that the differences were statistically significant ( < 0.05). Therefore, MRI on account of AI algorithm made it easier to detect synovial contour, which was helpful to evaluate the efficacy of polygenic risk scores (PRS) surgery in HA patients. MRI based on the Canny algorithm had less differences between the score of hemophilic arthropathy and pathological results, which could replace conventional MRI examination and have clinical application value.
本研究旨在探讨基于人工智能（AI）算法的磁共振成像（MRI）评估血友病性关节炎（HA）放射滑膜切除术效果。应用基于 Canny 算法的 MRI，并根据 PSNR 和 SSIM 评估其应用效果，与常规 MRI 进行比较。选择 60 例 HA 患者为研究对象。根据检测方法，患者分为 A 组（放射滑膜切除术后病理检测）、B 组（常规 MRI 检测）和 C 组（基于 Canny 算法的 MRI 检测）。通过比较两种检测方法与病理结果的差异，判断基于 Canny 算法的 MRI 的应用价值。结果显示，在峰值信噪比（PSNR）和结构相似性（SSIM）方面，Canny 算法的重建效果明显优于传统算法，滑膜轮廓更清晰。关节积液和出血的 IPSG 评分结果显示，常规 MRI 与病理结果在 1 分和 2 分（<0.05）的关节检测率存在差异；而基于 Canny 算法的 MRI 与病理结果无显著差异（>0.05）。滑膜增生的 IPSG 评分结果显示，常规 MRI 与病理结果在 1 分和 2 分（<0.05）的关节检测率存在差异；而基于 Canny 算法的 MRI 与病理结果无显著差异（>0.05）。含铁血黄素沉积的 IPSG 评分结果显示，常规 MRI 与病理结果在 1 分和 2 分（<0.05）的关节检测率存在差异；而基于 Canny 算法的 MRI 与病理结果无显著差异（>0.05）。术后患者的滑膜体积较术前减少。采用单因素方差分析术后和术前的临床出血频率，结果显示差异有统计学意义（<0.05）。因此，基于 AI 算法的 MRI 更容易检测滑膜轮廓，有助于评估血友病性关节炎患者手术的多基因风险评分（PRS）疗效。基于 Canny 算法的 MRI 在血友病性关节炎评分与病理结果之间的差异较小，可替代常规 MRI 检查，具有临床应用价值。
